code: def uncased_bert_base_cfg():
      cfg = base_cfg()
      cfg.model_name = "google_en_uncased_bert_base"
      cfg.batch_size = 6
      cfg.num_accumulated = 2
      cfg.lr = 3e-5
      return cfg
  
file_path: gluon-nlp/docs/model_zoo/question_answering/commands/generate_commands.py
imports: import re
  import os
  from gluonnlp.utils.config import CfgNode
label_desc: Use image node_id 11 for calling a global function with example usage: uncased_bert_base_cfg() and returns: cfg